deepread

What This Skill Does

DeepRead is an enterprise-grade OCR and intelligent document processing API designed for high-accuracy data extraction from PDFs. Unlike standard OCR solutions, DeepRead focuses on reliability, providing "never-fail" processing that utilizes multi-pass algorithms and cross-model consensus to ensure high-fidelity results. The core value proposition is its ability to reduce human intervention by identifying specific data points that require verification, rather than forcing a 100% human review workflow. It translates complex, unstructured document layouts into clean, actionable markdown text and machine-readable JSON, complete with granular confidence scores for every field.

Installation

To integrate the DeepRead skill into your OpenClaw environment, ensure you have the OpenClaw agent configured. Execute the following command in your terminal: clawhub install openclaw/skills/skills/uday390/deepread

Once installed, finalize the setup by creating an API key at https://www.deepread.tech/dashboard. You can optionally configure your clawdbot.config.json5 file by adding the deepread object under skills.entries with your provided API key. Ensure your local environment variables have the DEEPREAD_API_KEY exported for seamless authentication with the service.

Use Cases

DeepRead excels in environments where document volume is high and accuracy is mission-critical. Common use cases include:

• Automated Invoice Processing: Extract vendor, tax, and total amounts directly into accounting systems.
• Legal Document Digitization: Convert scans of contracts into searchable markdown while flagging clauses that need legal review.
• Supply Chain Management: Parse shipping manifests and bills of lading into structured database rows.
• Data Entry Automation: Shift from manual data entry to a validation-only workflow by letting the AI extract 90% of form data with high confidence.

Example Prompts

1. "DeepRead, process the invoice in my downloads folder and extract the date, total amount, and vendor name into a JSON format."
2. "Extract all text from the attached legal contract.md and highlight any sections where the AI confidence score is below 0.90 for human review."
3. "Summarize the provided bank statement into a structured list of transactions, and ensure you flag any suspicious line items using the DeepRead quality flags."

Tips & Limitations

• Free Tier Constraints: The service offers 2,000 pages per month for free. Keep an eye on your consumption if processing high-volume batches.
• Polling vs. Webhooks: For high-latency workflows, always prefer the webhook implementation over polling to reduce resource overhead on your agent.
• Document Quality: While the engine is robust, extreme rotation or heavily degraded scans may still require pre-processing (deskewing) for optimal confidence scores.
• Security: Because this skill interacts with external APIs, ensure that sensitive documents are handled within your organization's security compliance framework before uploading to the DeepRead endpoint.